Course in Ethics in AI for Cyber Defence
Online 300-hour course in ethics in AI for cyber defence. 6 modules covering the Tallinn Manual 2.0 on international law applicable to cyber operations (2017), Directive (EU) 2022/2555 (NIS2) and Splunk. Personal tutor assigned and enrolment open.
Take the controls.
Run a real engineering trade-off from this programme. Move the sliders, watch the model react in real time and beat the challenge.
What you will be able to do
Describe applications of AI in cyber threat detection and response.
Analyse international law applicable to cyber operations.
Identify risks of defensive AI, such as adversarial attacks and false positives.
Balance network monitoring with the protection of privacy.
Assign responsibilities for automated decisions in cyber defence.
Apply security and AI risk management frameworks.
Design a responsible cyber defence project supported by AI.
Who it's for
- Cyber defence analyst wishing to specialise in Ethics in AI for Cyber Defence.
- Security engineer with machine learning skills wishing to specialise in Ethics in AI for Cyber Defence.
- Security operations centre (SOC) analyst wishing to specialise in Ethics in AI for Cyber Defence.
- Legal adviser in cybersecurity wishing to specialise in Ethics in AI for Cyber Defence.
- Privacy officer wishing to specialise in Ethics in AI for Cyber Defence.
- Researcher in AI for security wishing to specialise in Ethics in AI for Cyber Defence.
- Engineering or science graduates seeking to enter cybersecurity.
What you'll work with
- Tallinn Manual 2.0 on international law applicable to cyber operations (2017)
- Directive (EU) 2022/2555 (NIS2)
- Regulation (EU) 2024/1689 (Artificial Intelligence Act)
- Budapest Convention on Cybercrime (2001)
- Law 36/2015 on National Security
- ISO/IEC 27001 (information security management)
- NATO Principles for the Responsible Use of AI (2021)
6 modules · 300 h
1.1Intrusion detection with machine learning1.2Malware analysis and classification1.3Augmented SOC and SOAR orchestration1.4Automated threat intelligence1.5Active cyber defence and offensive operations1.6Language models in cybersecurity1.7Dual use of AI tools1.8Ethical framework of cyber defence1.9NATO principles for the responsible use of AI1.10Case study: deployment of AI in an operations centre
2.1Tallinn Manual 2.02.2Sovereignty, non-intervention and use of force2.3Cyber operations and international humanitarian law2.4Distinction and proportionality in cyberspace2.5UN GGE voluntary norms2.6Attribution and proportionate response2.7Countermeasures and self-defence2.8Protection of civilian critical infrastructure2.9Hospitals and essential services2.10Case study: analysis of the NotPetya attack
3.1False positives and blocking of legitimate services3.2Adversarial attacks on detectors3.3Poisoning of training data3.4Automated escalation and autonomous response3.5Human oversight of automated responses3.6Explainability for analysts3.7Bias in automated attribution3.8Reliability of language models3.9MITRE ATLAS: threats to AI systems3.10Laboratory: evading a malware classifier
4.1Deep packet inspection and privacy4.2Employee monitoring and proportionality4.3GDPR and processing for security purposes4.4NIS2 Directive and obligations4.5Log retention4.6Sharing of intelligence and personal data4.7Mass surveillance under the pretext of cyber defence4.8Spyware and the Pegasus case4.9Judicial guarantees and oversight4.10Case study: proportionality assessment of a monitoring platform
5.1National Cybersecurity Strategy5.2Joint Cyber Command and CCN-CERT5.3Responsible vulnerability disclosure5.4Stockpiling of vulnerabilities and the EternalBlue case5.5Exploit market and its regulation5.6Export control of intrusion tools5.7Ethical hackers and bug bounties5.8Ethics training for analysts5.9Accountability for operations5.10Workshop: vulnerability disclosure policy
6.1Definition of the defensive AI system6.2Threat analysis and use cases6.3Technical risk assessment6.4Privacy and proportionality analysis6.5Design of human oversight6.6Applicable legal framework6.7Test and audit plan6.8Monitoring indicators6.9Report and presentation6.10Final review with the tutor
How you'll learn
100% online training on the SEIUM campus, with downloadable material, recorded classes and a dedicated technical tutor. No fixed timetable: students progress at their own pace within the intake, which makes it possible to combine the course with work.
Each module combines theory, guided reading of the original standard and applied exercises. The working software is Splunk, Elastic Security, MITRE ATLAS, Python (scikit-learn), in free, academic or evaluation versions. Practicals are based on real procedures from AI-based intrusion detection laboratories, analysis of cyber operation cases, and privacy assessments of monitoring systems. Assessment is continuous, per module, plus the final integrative project.
Build it end to end
Your final project follows the real engineering workflow, step by step, reviewed by your tutor.
Describe applications of AI in cyber threat detection and response.
Analyse international law applicable to cyber operations.
Identify risks of defensive AI, such as adversarial attacks and false positives.
Balance network monitoring with the protection of privacy.
Assign responsibilities for automated decisions in cyber defence.
Where this takes you
Requirements
- No prior degree is required.
- Internet connection and a computer capable of running the programme's software.
- Sufficient command of Spanish to follow technical regulatory texts.
Ready to start?
Send your application today. Our admissions team replies within 72 hours with your study plan and funding options.
Frequently asked questions
The programme comprises 300 hours in total, spread over 3 to 5 months. That is an average of 10 to 15 hours per week, compatible with a full-time job.
The course uses Splunk, Elastic Security, MITRE ATLAS and Python (scikit-learn). Free, academic or evaluation versions are used, and the tutor indicates the free alternative where one exists.
SEIUM's own diploma upon passing the continuous assessment and the integrative project. This is in-house training, not an official qualification from the Ministry.
Yes. Modules passed in a course or postgraduate diploma in the same area are recognised towards the higher programme. Check the recognition policy when you enrol.
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